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Back at the start of 2017, Arm announced its first batch of dedicated machine learning (ML) hardware. Under the name Project Trillium, the company unveiled a dedicated ML processor for products like ...

ARM doesn’t build any chips itself, but its designs are at the core of virtually every CPU in modern smartphones, cameras and IoT devices. So far, the company’s partners have shipped more than 125 ...

SAN JOSE, Calif.--(BUSINESS WIRE)--SiMa.ai™, the machine learning company enabling high performance compute at the lowest power, today announced the adoption of low-power Arm® compute technology to ...

There has been quite a lot written about Neural Processing Units (NPUs) recently. An NPU enables machine learning inference on smartphones without having to use the cloud. HUAWEI made early advances ...

After taking a measured, wait-and-see approach to machine learning, Arm is ready to jump into the fold full throttle. Today, the company is following up on its Project Trillium announcement from back ...

Arm has unveiled two new IP cores designed to power machine learning in endpoint devices, IoT devices, and other low-power, cost-sensitive applications. The Cortex-M55 microcontroller core is the ...

'If you look at instances to start, it's not just that we have meaningfully more instances than anybody else, but it's also that we've got a lot more powerful capabilities in each of those instances,' ...

Why it matters: For a company that doesn't manufacture anything, Arm has a surprisingly large and broad impact, not only on the chip industry, but the overall tech industry and, increasingly, many ...